Python library for reading files in Axon Binary Format (ABF)
Project description
pyABF: a pure-Python ABF file reader
pyABF provides a Python interface to electrophysiology files in the Axon Binary Format (ABF). pyABF supports Python 2.7 and Python 3.6+ and does not use obscure libraries (just the standard libraries plus numpy and matplotlib). pyABF supports reading of ABF1 and ABF2 files, and can write ABF1 files.
Links
Quickstart
Install or upgrade pyABF:
pip install --upgrade pyabf
Access ABF sweep data:
import pyabf
abf = pyabf.ABF("demo.abf")
abf.setSweep(3)
print(abf.sweepY) # sweep data (ADC)
print(abf.sweepC) # sweep command (DAC)
print(abf.sweepX) # sweep times (seconds)
Plot a sweep with Matplotlib:
import matplotlib.pyplot as plt
import pyabf
abf = pyabf.ABF("17o05028_ic_steps.abf")
abf.setSweep(14)
plt.plot(abf.sweepX, abf.sweepY)
plt.show()
Get fancy with Matplotlib:
import matplotlib.pyplot as plt
import pyabf
abf = pyabf.ABF("sample.abf")
plt.figure(figsize=(8, 5))
for sweepNumber in range(abf.sweepCount)[::5]:
abf.setSweep(sweepNumber)
plt.plot(abf.sweepX,abf.sweepY,alpha=.5,label="sweep %d"%(sweepNumber))
plt.legend()
plt.ylabel(abf.sweepLabelY)
plt.xlabel(abf.sweepLabelX)
plt.title("pyABF and Matplotlib are a great pair!")
plt.show()
Additional Examples
Full pyabf API documentation, additional code examples, a pyabf cookbook, and low-level information about the ABF file format can be found at the pyABF project homepage: https://github.com/swharden/pyABF
Citing pyABF
If the pyABF module facilitated your research, consider citing this project by name so it can benefit others too:
“Computational analysis of electrophysiological recordings was performed with custom software written for this project using Python 3.6 and the pyABF module.”
Feature Requests / Unsupported ABF Files
If you have ABF files which are unsupported (or read incorrectly) by this software, it is likely due to a use case we have not run across yet, so let us know about it! We can only develop and test this software against ABF files we have access to, so if you’re interested in having your ABF file supported send the primary author an email (and the ABF file you are trying to analyze) and we will investigate it. If a solution is reached the pyabf package will be updated so everyone can benefit from the change. We can only develop for (and test against) ABFs we have access to, so we really appreciate your contributions!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyabf-2.1.1.tar.gz
.
File metadata
- Download URL: pyabf-2.1.1.tar.gz
- Upload date:
- Size: 37.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.14.2 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 390e3ab40a9385aaba874bfb31f5ce051ffbbd908a8a5705ae7248c500abc60e |
|
MD5 | 3a6828969d100ef355dc719247a7e89f |
|
BLAKE2b-256 | 8d754fea95591e006b4df2c7537edf6916178239b2dfe5cf0131a69fdc3deb28 |